AI Engineer & Data Analytics Specialist

VEBITS AI PTE. LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

VEBITS AI PTE. LIMITED in Singapore seeks an AI Engineer to design, develop, test, and deploy AI solutions across data analytics, machine learning and deep learning, with a strong emphasis on computer vision and OpenCV.

You will collaborate with cross-functional teams to build end-to-end AI systems, develop vision and DL algorithms, and maintain scalable, secure AI infrastructure while upholding privacy and ethical standards.

Qualifications

• Bachelor's or Master's degree in computer science, data science, or related fields.
• Strong experience in machine learning, computer vision, and AI-related technologies.
• Proficiency in programming languages like Python, Java, or C++ and experience with DL frameworks such as TensorFlow, PyTorch, or Keras.
• Good understanding of software engineering practices including version control, code review, testing, and deployment.
• Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.

Responsibilities

• Develop and deploy AI solutions that solve complex business problems.
• Collaborate with cross-functional teams to design and develop end-to-end AI systems.
• Work on developing computer vision algorithms, deep learning, and reinforcement learning algorithms.
• Develop and maintain scalable and robust AI infrastructure.
• Ensure that AI systems meet the highest standards of security, privacy, and ethical considerations.

Skills

Machine learning

Computer vision

AI technologies

Communication skills

Education

Bachelor's or Master's degree in computer science / data science

Tools

Python

Java

C++

TensorFlow

PyTorch

Keras

Job description

VEBITS AI PTE. LIMITED in Singapore seeks an AI Engineer to design, develop, test, and deploy AI solutions across data analytics, machine learning and deep learning, with a strong emphasis on computer vision and OpenCV.

You will collaborate with cross-functional teams to build end-to-end AI systems, develop vision and DL algorithms, and maintain scalable, secure AI infrastructure while upholding privacy and ethical standards.